The earlier works in streaming simultaneous translation such as [1]}, [2]}, [3]}
lack the ability to anticipate the words with missing source context. The Wait-k model introduced by [4]} brought in many improvements by introducing a simultaneous translation module which can be easily integrated into most of the sequence to sequence models.
[5]} introduced MILk which is capable of learning an adaptive schedule by using hierarchical attention; hence it performs better on the latency quality trade-off.
Wait-k and MILk are both capable of anticipating words and achieving specified latency requirements.
